import json
import plotly.express as px
import pandas as pd

filename = 'F:/OneDrive/MYW/data_science/earthquake/eq_data_30_day_m1.json'
with open(filename) as f:
    all_eq_data = json.load(f)

all_eq_dicts = all_eq_data['features']
mags,titles,lons,lats = [],[],[],[]
for eq_dict in all_eq_dicts:
    try:
        mag = eq_dict['properties']['mag']
        title = eq_dict['properties']['title']
        lon = eq_dict['geometry']['coordinates'][0]
        lat = eq_dict['geometry']['coordinates'][1]
    except ValueError:
        continue
    else:
        mags.append(mag)
        titles.append(title)
        lons.append(lon)
        lats.append(lat)

data = pd.DataFrame(
    data=zip(lons,lats,titles,mags),columns=['经度','纬度','位置','震级']
)
data.head()

	经度	纬度	位置	震级
0	-116.794167	33.486333	M 1.0 - 8km NE of Aguanga, CA	0.96
1	-148.986500	64.667300	M 1.2 - 11km NNE of North Nenana, Alaska	1.20
2	-74.234300	-12.102500	M 4.3 - 69km NNW of Ayna, Peru	4.30
3	-161.680100	54.223200	M 3.6 - 126km SSE of Cold Bay, Alaska	3.60
4	-118.531667	35.309833	M 2.1 - 21km NNW of Tehachapi, CA	2.10

fig = px.scatter(data_frame=data,x='经度',y='纬度',
                 range_x=[-200,200],range_y=[-90,90],width=800,height=800,
                 title='全球地震散点图',
                 size='震级',size_max=10,
                 color='震级',
                 hover_name='位置')
fig.write_html('global_erath.html')
fig.show()